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.

Graphs that are not drawn to scale mislead the reader. This post shows another example of a graph where the visual representation of the numbers is not proportional to the numbers themselves.

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.

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 ...

Graphtyper is a fast and scalable method for variant genotyping that aligns short-read sequence data to a pangenome. Graphtyper was able to accurately genotype ∼90 million sequence variants in ...

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.