Analysis 1 - Metadata and Data Sample
This analysis will reveal a sample of each data file to help us understand the data structure,
without revealing the entire dataset.
A sample of the first 10 rows and last 10 rows will be extracted for each file.
A summary of values in each column will be extracted (e.g. frequency of each category, mean, standard deviation).
Analysis 2 - Formation Profiles
This analysis will extract team formations in a way that allows studying the team, but not individuals.
Data will be downsampled to one sample every 10 minutes to reduce risk of revealing detailed individual movements.
Team formations will be represented as a “point cloud” that includes non-identifiable
dots for the location of each player in the formation, but does not allow tracing the position of individual
players over the full course of the match (i.e. even if one knows the player position at a certain time,
they will lose track of which player is which whenever two player paths cross over each other).
(For this tutorial, we will authorise the second analysis. Password used to encrypt/decrypt demo data is