The relational model and skew lattices, Part I
So, how about noncommutative lattices in data science? The aim of this post is to demonstrate a connection between data science and noncommutative lattices, more precisely skew lattices. This is work in progress. The relational model is one of the most basic models used in data science. Data is organized into tables called relations , each being composed of rows and columns. Columns correspond to attributes, while rows correspond to data entries. Rows are often referred to as records . In data science, a database organized as a relational model can be manipulated for instance with the SQL (pronounce: "sequel") language. Let's look at an example. The open source Chinook database represents a digital media store with the media related data collected from the iTunes Library. It is composed of several tables like artists, albums, tracks, genres etc. In order to get some insight into the database, let's look at the first five records of the following tables: artist...