What are the advantages and disadvantages of using a linear scale vs log scale when analyzing cryptocurrency trading volumes?

3 answers

• Mar 08, 2022 · 3 years ago
  Using a linear scale when analyzing cryptocurrency trading volumes allows for a straightforward representation of the data. It presents the volume data in a linear progression, where each unit on the scale represents an equal increase in volume. This can be useful for quickly identifying trends and patterns in the trading volume. However, one disadvantage of using a linear scale is that it may not effectively capture the full range of volume data, especially when dealing with extremely high or low volumes. In such cases, a log scale might be more appropriate.
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• Mar 08, 2022 · 3 years ago
  Well, using a log scale when analyzing cryptocurrency trading volumes has its own advantages. It helps to compress the data and allows for a better visualization of the entire range of volume data. By using a log scale, smaller volume values can be magnified, making it easier to spot changes in volume for low volume cryptocurrencies. On the other hand, one drawback of using a log scale is that it can make it more difficult to interpret the data accurately, especially for those who are not familiar with logarithmic scales. It requires a bit of understanding and adjustment to get used to the logarithmic representation.
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• Mar 08, 2022 · 3 years ago
  From BYDFi's perspective, when analyzing cryptocurrency trading volumes, both linear and log scales have their merits. While a linear scale provides a straightforward representation of the data, a log scale allows for a better visualization of the entire range of volume data. The choice between the two scales depends on the specific needs and preferences of the analyst. Some may prefer the simplicity of a linear scale, while others may find the compressed representation of a log scale more useful. Ultimately, it's important to consider the context and purpose of the analysis to determine which scale is most appropriate.
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