Abstract
In sociology, one is often confronted with the problem of graphic presentations based on processing massive quantities of data from questionnaire surveys. Moreover, potential users can be of low statistical expertise, thus requiring relatively easy to use software such as PointG with drop-down menus. It is aimed at facing the difficulties due to the mass of collected quantitative data, both at the strategic, tactical and operational levels of statistical processing. It offers conventional ways of analysis going from univariate to multivariate data, but also automates treatments on groups of variables and calculates the size of overall and local effects. Apart from the graphic aspects, its distinctive “hetero-statistic” approach permits the user not to worry about the nature of the variables in bivariate analyses and during regression and factor analysis. PointG was developed within the powerful distribution free R programming environment.