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.

Click on the graph axis you want to change to a logarithmic scale. Note that by clicking on different parts of the chart, you can select the whole chart, the plot area only, the legend or each axis.

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 ...

We find that the group who read the information on a logarithmic scale has a much lower level of comprehension of the graph: only 40.66% of them could respond correctly to a basic question about ...

But sharp-eyed observers will note that the chart is in log scale, not linear scale. In a regular linear scale graph -- the type of scale everyone is used to seeing on a daily basis in everything ...

A log scale graph, where one or both axes increase exponentially (1, 10, 100, instead of 1, 2, 3), data is compressed to make exponential trends easier to parse. However, log curves can distort ...

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 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 ...