In “When Should I Use Logarithmic Scales in My Charts and Graphs”, I showed the revenues ... the axis with values corresponding to the original values or with the transformed values.

I help people communicate data clearly with graphs. There are two main reasons to use logarithmic scales in charts and graphs. The first is to respond to skewness towards large values; i.e., cases ...

In other words, in a graph with six vertices, forbidding paths of length 3 guarantees an independent set that is at least half the size of the original graph, which is pretty big when it comes to ...

This adjacency matrix represents which nodes in your graph are connected by edges and which are not. You can then use this matrix to compute a sequence of numbers, called eigenvalues, that provide ...

To compensate, we can present the same data on a logarithmic (or log) scale. This means the graph’s vertical axis (y-axis) is graduated by orders of magnitude (1, 10, 100, 1,000) rather than in ...

One of the original graph database companies, Neo Technology, has a product called Neo4j. Neo's sidekick in the Matrix is named Trinity.

This tells us that we need to multiply each of the \(y\) coordinates on the graph by \(a\) in order to stretch the original graph. Looking at some coordinates, we know that \(f(x) = x^2\) goes ...