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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.
A logarithmic scale (or log scale) is a way of displaying numerical data over a very wide range of values in a compact way typically the largest numbers in the data are hundreds or even thousands of times larger than the smallest numbers. Rather, the numbers 10 and 100, and 100 and 1000 are equally spaced.
the log scale gives a good way to see detailed changes in small numbers and still have access to large numbers. Logarithmic scale is useful to depict a wide range of values in a way easier to grasp than a linear scale.
On a linear scale the value between any two points will never change. A logarithm is based on exponents, which are the superscripts next to, and above, another base number or variable. On a logarithmic scale the value between two points changes in a particular pattern.
A logarithmic scale (or log scale) is a way of displaying numerical data over a very wide range of values in a compact way typically the largest numbers in the data are hundreds or even thousands of times larger than the smallest numbers. Rather, the numbers 10 and 100, and 100 and 1000 are equally spaced.
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