Alphabetical - G

GAMMA	The gamma function value.
GAMMA.DIST	The probability distribution function OR the cumulative probability function for a gamma distribution.
GAMMA.INV	The inverse of the cumulative probability function for a gamma distribution.
GAMMADIST	(GAMMA.DIST) The probability distribution function OR the cumulative probability function for a gamma distribution.
GAMMAINV	(GAMMA.INV) The inverse of the probability distribution for a gamma distribution.
GAMMALN	(GAMMALN.PRECISE) The natural logarithm of the gamma function.
GAMMALN.PRECISE	The natural logarithm of the gamma function.
GAUSS	The 0.5 less than the standard normal cumulative distribution.
GCD	The greatest common divisor of two or more numbers.
GEOMEAN	The geometric mean of an array of numbers.
GESTEP	The value True or False depending if the number is greater than a threshold value.
GETPIVOTDATA	The data obtained from a pivot table.
GROUPBY	(365) The summary table after grouping and aggregating by row.
GROWTH	The predicted exponential growth using existing data.

GAMMA The gamma function value.
GAMMA.DIST The probability distribution function OR the cumulative probability function for a gamma distribution.
GAMMA.INV The inverse of the cumulative probability function for a gamma distribution.
GAMMADIST (GAMMA.DIST) The probability distribution function OR the cumulative probability function for a gamma distribution.
GAMMAINV (GAMMA.INV) The inverse of the probability distribution for a gamma distribution.
GAMMALN (GAMMALN.PRECISE) The natural logarithm of the gamma function.
GAMMALN.PRECISE The natural logarithm of the gamma function.
GAUSS The 0.5 less than the standard normal cumulative distribution.
GCD The greatest common divisor of two or more numbers.
GEOMEAN The geometric mean of an array of numbers.
GESTEP The value True or False depending if the number is greater than a threshold value.
GETPIVOTDATA The data obtained from a pivot table.
GROUPBY (365) The summary table after grouping and aggregating by row.
GROWTH The predicted exponential growth using existing data.