One of them is measuring earthquakes.
From the Wikipedia article (link below), Presentation of data on a logarithmic scale can be helpful when the data cover a large range of values - for the use of the logarithms of the values rather than the actual values reduces a wide range to a more manageable size.
Natural logarithms use base e (approximately 2.71828), common logarithms use base 10.
The scale for a vertical axis depends on the data being represented. For quantitative data, a linear scale is commonly used, allowing for equal intervals between values. If the data spans several orders of magnitude, a logarithmic scale may be more appropriate to better visualize differences in smaller values. Always ensure the scale is clearly labeled to enhance understanding for the viewer.
Infinitely many. You can represent any distance in real life by 1 unit on your scale or, conversely, you use any distance on your scale drawing to represent a unit of length in real life.
Unless you are an electrical engineer or a math teacher, every number you will ever use in a real world situation will be a real number.
a logarithmic scale
If by "real life" you include the physical world, then you express the spontaneous decay of radioactivity in a sample with a logarithmic equation.
When dealing with farm animals
The use of a logarithmic scale in a database can impact data analysis and visualization by compressing a wide range of values into a smaller, more manageable scale. This can help in highlighting patterns and trends that may not be easily visible on a linear scale. Additionally, it can make it easier to compare data points that vary greatly in magnitude.
The use of a logarithmic scale in measuring sound intensity in decibels allows for a wider range of values to be represented in a more manageable way. This scale compresses the range of sound levels into a more easily understandable format, making it easier to compare and analyze different levels of sound intensity.
Many things in the real world are approximately fractal or logarithmic. For example, if you examine a shore line it will be a wriggly line. Examine it at more detail and you will see a similar pattern but at a smaller scale. Even more detail and you still have the same (or similar) pattern at yet more detail. Computer-aided graphics use this property to generate landscapes: storing a small amount of "data" and replicating it at different scales is far easier than storing masses of data. The logarithmic function also has this scale-invariant property. If you are interested, read the attached link about Benford's Law. The article does not require much mathematical knowledge - only curiosity.
From the Wikipedia article (link below), Presentation of data on a logarithmic scale can be helpful when the data cover a large range of values - for the use of the logarithms of the values rather than the actual values reduces a wide range to a more manageable size.
Both the pH scale and the Richter scale are logarithmic. A decrease of 1 on the pH scale means a tenfold increase in acidity while an increase of 1 on the Richter scale means a tenfold increase in intensity.
Unless you drew the map at full scale (real world size) all maps use a scaling factor of area of the real world to an area of the map. For example, on a 1:175,000 scale map one cm on the map represents 175,000 cm or 1.75 km (~1 mile) in the real world.
Japan uses the Richter scale to measure earthquakes. This scale quantifies the energy released by an earthquake using a logarithmic scale from 1 to 10. In addition to the Richter scale, Japan also uses the Japan Meteorological Agency (JMA) seismic intensity scale to evaluate the intensity of shaking felt at specific locations.
We use a logarithmic scale when there is a wide range of values, and when a change in a value depends not on the absolute size of the change but on proportion to the value itself. Adding 1 to a value is absolutely the same whether the original value is 1 or 1000, a linear scale makes sense. If doubling a value is just the same change whether is it from 1 to 2 or from 1000 to 2000, a logarithmic scale is appropriate. We are going to investigate the decibel scale for loudness. There are two reasons why a logarithmic scale is useful: Quantities of interest exhibit such ranges of variation that a dB scale is more convenient than a linear scale. For example, sound pressure radiated by a submarine may vary by eight orders of magnitude depending on direction. The human ear interprets changes in loudness within a logarithmic scale.
You can get semi-log or log-log graph paper. In the first, the horizontal axis is linear while the vertical axis has a logarithmic scale. You can always use the paper sideways so that the horizontal is logarithmic and the vertical linear. The second type has both axes with logarithmic scales. Alternatively, you calculate the appropriate values and plot the results using the usual Cartesian coordinate system.