Compute a histogram using the provided buckets.
Compute a histogram using the provided buckets. The buckets are all open to the right except
for the last which is closed e.g. for the array [1, 10, 20, 50]
the buckets are [1, 10)
[10, 20) [20, 50]
e.g 1<=x<10
, 10<=x<20
, 20<=x<=50
. And on the input of 1 and 50 we
would have a histogram of [1, 0, 1]
.
Note: if your histogram is evenly spaced (e.g. [0, 10, 20, 30]
) this can be switched from
an O(log n) insertion to O(1) per element. (where n = # buckets) if you set evenBuckets
to
true.
buckets must be sorted and not contain any duplicates. buckets array must be at least two elements. All NaN entries are treated the same. If you have a NaN bucket it must be the maximum value of the last position and all NaN entries will be counted in that bucket.
Compute a histogram of the data using bucketCount
number of buckets evenly spaced between
the minimum and maximum of the SCollection.
Compute a histogram of the data using bucketCount
number of buckets evenly spaced between
the minimum and maximum of the SCollection. For example if the min value is 0 and the max is
100 and there are two buckets the resulting buckets will be [0, 50) [50, 100]. bucketCount
must be at least 1. If the SCollection contains infinity, NaN throws an exception. If the
elements in SCollection do not vary (max == min) always returns a single bucket.
Compute the sample standard deviation of this SCollection's elements (which corrects for bias in estimating the standard deviation by dividing by N-1 instead of N).
Compute the sample variance of this SCollection's elements (which corrects for bias in estimating the variance by dividing by N-1 instead of N).
Return an SCollection with a single com.spotify.scio.util.StatCounter StatCounter object that captures the mean, variance and count of the SCollection's elements in one operation.
Compute the standard deviation of this SCollection's elements.
Compute the variance of this SCollection's elements.
Extra functions available on SCollections of Doubles through an implicit conversion.