If you have a lot of data, then we can use special mathematical procedures to learn interesting conclusions from it. Our main tools are descriptive and inductive statistics. The first will clearly and compactly present the data in the form of graphs, tables, and relevant measures. The second will allow with a small sample of data identify common patterns to all investigated objects.
With relevant statistical methods we can reveal the relationship within the data (correlation analysis), identify specific differences between groups (comparison of means), forecast (regression analysis, Log-Linear Analysis), reveal the data structure (multidimensional scaling, cluster and factor analysis).
We use open source software for statistical calculations, which allows us to regularly extend the methods of analysis and representation.