The thesis aims to develop a model that describes and predicts audience attendance in a theater through the analysis of a large dataset of past surveys. The purpose is:

1. determine which characteristics have a significant effect on audience attendance;
2. build a predictive model based on these characteristics;
3. optimize show programming and ticket sales strategy based on the model.

The dataset used will be provided by the Teatro Piccolo of Milan and the thesis will take place in collaboration with the Marketing Management of the same Theatre.

Prerequisites: notions of statistical inference and linear regression taught in a basic Statistics course, knowledge of the statistical software R or equivalent statistical software.

Reference teachers: Matteo Gregoratti (DMAT) and Alessandro Toigo (DMAT).

Timing: autumn graduation session or (more likely) later.