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The reason to use logarithmic scales is to resolve an issue with visualizations that skew towards large values in a dataset.

Logarithmic price scales are better than linear price scales at showing less severe price increases or decreases. They can help you visualize how far the price must move to reach a buy or sell target. However, if prices are close together, logarithmic price scales may render congested and hard to read.

A logarithmic scale is a scale used when there is a large range of quantities. Common uses include earthquake strength, sound loudness, light intensity, spreading rates of epidemics, and pH of solutions. It is based on orders of magnitude, rather than a standard linear scale.

How to Create a Log-Log Plot in ExcelStep 1: Create a scatterplot. Highlight the data in the range A2:B11.Step 2: Change the x-axis scale to logarithmic. Right click on the values along the x-axis and click Format Axis.Step 3: Change the y-axis scale to logarithmic.Aug 3, 2020

Select the "Scale" tab on the Format Axis window. Click the "Logarithmic Scale" check box near the bottom of the window. This changes the chart's axis to a log scale.

Presentation of data on a logarithmic scale can be helpful when the data: covers a large range of values, since the use of the logarithms of the values rather than the actual values reduces a wide range to a more manageable size; may contain exponential laws or power laws, since these will show up as straight lines.

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 which one or a few points are much larger than the bulk of the data. The second is to show percent change or multiplicative factors.