Introduction
What this guide covers
A rigorous mathematical approach to information modeling, formal data taxonomies, Stevens measurement scales and frequency clustering theory.
Overview
Topics covered
- Introduction
- Descriptive Statistics, Data Science and Data Typology
- Epistemology of Descriptive Statistics and its Role in Data Science
- Classical Taxonomy and Modern Data Structures
- 2.1 Classical Classification
- 2.2 Data Structures in the Modern Data Science Environment
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
The expression is rendered accessibly, with its LaTeX source preserved below.
View LaTeX source
\boldsymbol{X} = \begin{pmatrix}
x_{11} & x_{12} & \cdots & x_{1D} \\
x_{21} & x_{22} & \cdots & x_{2D} \\
\vdots & \vdots & \ddots & \vdots \\
x_{N1} & x_{N2} & \cdots & x_{ND}
\end{pmatrix}