# data[].attributes.body
Because logarithims are inverses of exponential equations, one's h will be the others k, and ones' k will be the others h.

# data[].attributes.body
When a log has no base, one can assume that the base is equal to ten in a logarithmic equation.

# data[].attributes.body
Since logarithms are functions, they will pass the vertical line test.

# data[].attributes.body
Because Log functions are inverses of exponential functions, their growths and decays will not always be in the same quadrant that the exponential growths and decays are.

# data[].attributes.body
When expanding and compressing logs, subtraction will represent division, addition will represent multiplication, and an exponent will change to the front coefficient of a log.

# data[].attributes.body
Since a log is only the inverse of an exponential function, it will follow the same rules as an exponential function. The base cannot be less than zero and any base between 1 and 0 is a decay.

# data[].attributes.body
Because of the log laws, when two logs add the numbers multiply.

# data[].attributes.body
When there is an h, the y intercept equals to k

# data[].attributes.body
Since logs are just the inverse of exponentials, so are their domain and ranges.

# data[].attributes.body
When a log is multiplied by a fraction in front of it, the number is to the power of the numerator of the fraction and rooted by the denominator.

# data[].attributes.body
Since common log is 10 when there is no base with the log it is assumed to be 10.

# data[].attributes.headline
When you subtract logs you divide their numbers.

# data[].attributes.subject
When you subtract logs you divide their numbers.

# data[].attributes.body
Jamaal Evans

# data[].attributes.body
When you add logs, you multiply their numbers.

# data[].attributes.body
Since logs are the oppoites of exponents, the inverse of a logarithmic function is an exponential function.

# data[].attributes.body
Because logs can have different bases, there is a formula to calculate the value of a log.

# data[].attributes.body
Since logs are also exponents, adding logs means that you are multiplying the numbers in the log

# data[].attributes.body
when a log is multiplied by a number in front of it, the number of the log is raised to the power of the first number