float
Average of non-null values in the scanned
data. NaN, if the field has a NaN.
standard_deviation
float
Standard deviation of non-null values in the
scanned data. NaN, if the field has a NaN.
min_
float
Minimum of non-null values in the scanned
data. NaN, if the field has a NaN.
quartiles
MutableSequence[float]
A quartile divides the number of data points
into four parts, or quarters, of more-or-less
equal size. Three main quartiles used are: The
first quartile (Q1) splits off the lowest 25% of
data from the highest 75%. It is also known as
the lower or 25th empirical quartile, as 25% of
the data is below this point. The second
quartile (Q2) is the median of a data set. So,
50% of the data lies below this point. The third
quartile (Q3) splits off the highest 25% of data
from the lowest 75%. It is known as the upper or
75th empirical quartile, as 75% of the data lies
below this point. Here, the quartiles is
provided as an ordered list of quartile values
for the scanned data, occurring in order Q1,
median, Q3.
max_
float
Maximum of non-null values in the scanned
data. NaN, if the field has a NaN.