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LOG10 in Collabora Office: Base-Ten Logarithms and Orders of Magnitude

Math Intermediate Collabora Office

Use LOG10 in Collabora Office Calc for decimal scales, ratios and readable order-of-magnitude comparisons.

Verification status: See the evidence and test scope described in this guide. How formula examples are checked

Quick answer: LOG10 returns the base-ten logarithm. =LOG10(1000) is expected to return 3, because 10^3 is 1000. The function asks for an exponent, not a number of decimal places to display.

Availability and version history

  • Introduced: documented by Collabora Office 26.04; the original introduction release is not established.
  • Availability: LOG10 is documented in the official 26.04 Calc Help.
  • Scope: desktop Calc documentation; separately deployed Online and mobile versions have not been verified.
  • Checked: October 13, 2026, against the official LOG10 reference. Documentation check; not a native application test. Expected examples are independently calculated.

Syntax and domain

=LOG10(number)

The argument is the positive value whose base-ten logarithm is required. A zero or negative value has no finite real logarithm for this operation. Correct the data or choose an appropriate mathematical model rather than silently replacing a domain failure with zero.

Collabora’s official reference identifies the base as ten. LOG can express the same operation with an explicit base of ten, while LN uses e. These operations share a general idea but do not return interchangeable numerical values.

Example 1: powers of ten around one

Enter the following numeric inputs in A2:A6 and put =LOG10(A2) in B2, filling down.

Input Expected result
0.001 -3
0.1 -1
1 0
100 2
100000 5

An input between zero and one gives a negative logarithm. This is valid and distinct from an invalid negative input. One gives zero because the zero power of ten is one.

For small values, verify that the source cell is numeric and has not been rounded to a stored zero during import. A display format that merely hides small decimals is a separate issue.

Example 2: a number between powers of ten

=LOG10(25)

Expected result: approximately 1.397940 to six decimal places. Twenty-five lies between 10 and 100, so its logarithm lies between 1 and 2. That interval check can reveal a misplaced decimal even before a calculator is used.

Compare the result with =10^LOG10(25), which is expected to recover approximately 25. Use a reasonable numerical tolerance after a chain of calculated operations rather than demanding a particular last binary digit.

Example 3: compare a ratio, not two raw units

Put 1000 in D2 as a reference quantity and 1000000 in E2 as the comparison quantity, both measured in the same unit.

=LOG10(E2/D2)

Expected result: 3. The ratio is 1000, so the second quantity is three powers of ten larger than the reference.

This statement concerns the ratio. It is not a difference of three original units. A thousand-fold increase is also not a 1000% increase; logarithmic, ratio and percentage descriptions must be labeled according to their definitions.

Advanced example: position on a logarithmic scale

Suppose a display covers positive values from 10 through 10000, and you want a normalized position for the value 100:

=(LOG10(100)-LOG10(10))/(LOG10(10000)-LOG10(10))

Expected result: 1/3, approximately 0.333333. The lower and upper logarithms are 1 and 4. The test value’s logarithm is 2, placing it one third of the way across that log interval.

The same expression gives 0 for value 10 and 1 for value 10000. It gives values outside 0–1 for positive inputs outside the chosen bounds. Clamp only if the display specification requires it; clamping changes the represented information.

A useful multiplication identity

=LOG10(20*50)
=LOG10(20)+LOG10(50)

Both are expected to return approximately 3. The product is 1000. Adding logarithms corresponds to multiplication of positive source quantities, not addition of those quantities.

In contrast, LOG10(20+50) is the logarithm of 70 and is not three. Parentheses and the operation inside them are part of the mathematical question.

Interpretation and verification

A log scale can make multiplicative differences easier to compare, but it changes visual spacing. Equal steps on the log scale represent equal ratios, not equal additions in the original measurement.

Check domain, units, input magnitude and base before changing a formula. Very small positive values may face representation limits; this article does not specify a universal underflow threshold for every Collabora version.

For native validation, record the build and compare the five powers of ten, 25, the ratio and the normalized position. All expected values are independently calculated. No Collabora application execution or screenshot is claimed.

Official reference