The post discusses the concept of linear transformations and logarithmic scales, using rulers as an example. It explains how rulers work, the limitations of linear transformations, and the benefits of using logarithmic scales for representing data. It also explores the concepts of symmetry, homoscedasticity, and linearity in data analysis.
Table of contents
SymmetryHomoscedasticityLinearityA final note on log basesAbout these visualizations25 Impressions