This post offers reasons for using logarithmic scales, also called log scales, on charts and graphs. It explains when logarithmic graphs with base 2 are preferred to logarithmic graphs with base 10.

Logarithmic price scales tend to show less severe price increases or decreases than linear price scales. For example, if an asset price has collapsed from $100.00 to $10.00, the distance between ...

The top chart is a linear scale, the bottom chart a logarithmic one. ... For example, in 2011 the stock price stalled all the way since April, pretty much doing nothing.

The second finding, however, is the key weakness of a log chart: people have a hard time interpreting the scale. In the log chart, the final dot looks like it’s at around 60-70,000 deaths or so.

There is disagreement on the proper way to label logarithmic scales in charts and graphs, especially when the base is not 10. This post shows several alternative ways of labeling log scales ...

In this example, we’re using life ... I wrote recently about why log scales are good for showing hidden patterns in data. And Rosling was not afraid to show log scale charts to the general ...

The data look very different when plotted on what is called a logarithmic scale. In a typical graph, values on the (vertical) y-axis are plotted linearly: 1, 2, 3, and so on, or 10, 20, 30, or the ...

Logarithmic Price Scale vs. Linear Price Scale: An Overview The interpretation of a stock chart can vary among different traders depending on the type of price scale used when viewing the data.