Statistical and charting functions
You can use the statistical and charting functions with the
chart
,
stats
, and
timechart
commands.
The functions can also be used with related statistical and charting commands. The following table lists the commands supported by the statistical and charting functions and the related command that can also use these functions.
Command  Supported related commands 

chart


stats


timechart

Functions that you can use to create sparkline charts are noted in the documentation for each function. Sparkline is a function that applies to only the chart
and stats
commands, and allows you to call other functions. For more information, see Add sparklines to search results in the Search Manual.
Using eval expressions in statistical and charting functions
In some of the examples for the statistical and charting functions you might see eval expressions.
Using an eval expression in a statistical or charting function is a shortcut for specifying an eval
command that creates a field, followed by a stats
command that references that field.
For example:
...  stats count(eval(status="404")) AS count_status BY sourcetype
Here's another example:
...  timechart eval(round(avg(cpu_seconds),2)) BY processor
When you use an eval expression with the timechart
command, you must also use BY clause.
As a shortcut, you can use an eval <expression> in a statistical or charting function where you would normally use a <field>. One example of the eval <expression> syntax is:
...  stats func(eval(<expression>))
This eval <expression> syntax is equivalent to this command syntax:
...  eval temp_field = <expression>  stats func(temp_field)
For additional information, see Use stats with eval expressions and function in the Search Manual.
How field values are processed
Most of the statistical and charting functions expect the field values to be numbers. All of the values are processed as numbers, and any nonnumeric values are ignored.
The following functions process the field values as literal string values, even though the values are numbers.




For example, you use the distinct_count
function and the field contains values such as "1", "1.0", and "01". Each value is considered a distinct string value.
The only exceptions are the max
and min
functions. These functions process values as numbers if possible. For example, the values "1", "1.0", and "01" are processed as the same numeric value.
Supported functions and syntax
The following table is a quick reference of the supported statistical and charting functions. This table lists the syntax and provides a brief description for each of the functions. Use the links in the table to learn more about each function examples, and to see examples.
Type of function  Supported functions and syntax  Description 

Aggregate functions  avg(X)

Returns the average of the values in the field X. 
count(X)

Returns the number of occurrences where the field that you specify contains any value (is not empty. You can also count the occurrences of a specific value in the field by using the eval command with the count function. For example: count eval(field_name="value") .
 
distinct_count(X)

Returns the count of distinct values in the field X.  
estdc(X)

Returns the estimated count of the distinct values in the field X.  
estdc_error(X)

Returns the theoretical error of the estimated count of the distinct values in the field X. The error represents a ratio of the absolute_value(estimate_distinct_count  real_distinct_count)/real_distinct_count .
 
max(X)

Returns the maximum value of the field X. If the values of X are nonnumeric, the maximum value is found using lexicographical ordering. This function processes field values as numbers if possible, otherwise processes field values as strings.  
mean(X)

Returns the arithmetic mean of the field X.  
median(X)

Returns the middlemost value of the field X.  
min(X)

Returns the minimum value of the field X. If the values of X are nonnumeric, the minimum value is found using lexicographical ordering.  
mode(X)

Returns the most frequent value of the field X.  
percentile<X>(Y)

Returns the Xth percentile value of the numeric field Y. Valid values of X are integers from 1 to 99.
 
range(X)

Returns the difference between the maximum and minimum values of the field X ONLY IF the values of X are numeric.  
stdev(X)

Returns the sample standard deviation of the field X.  
stdevp(X)

Returns the population standard deviation of the field X.  
sum(X)

Returns the sum of the values of the field X.  
sumsq(X)

Returns the sum of the squares of the values of the field X.  
var(X)

Returns the sample variance of the field X.  
varp(X)

Returns the population variance of the field X.  
Event order functions  first(X)

Returns the first seen value of the field X. In general, the first seen value of the field is the most recent instance of this field, relative to the input order of events into the stats command. 
last(X)

Returns the last seen value of the field X. In general, the last seen value of the field is the oldest instance of this field relative to the input order of events into the stats command.  
Multivalue stats and chart functions  list(X)

Returns a list of up to 100 values of the field X as a multivalue entry. The order of the values reflects the order of input events. 
values(X)

Returns the list of all distinct values of the field X as a multivalue entry. The order of the values is lexicographical.  
Time functions  earliest(X)

Returns the chronologically earliest (oldest) seen occurrence of a value of a field X. 
earliest_time(X)

Returns the UNIX time of the earliest (oldest) occurrence of a value of the field. Used in conjunction with earliest(x) , latest(x) , and latest_time(x) to calculate the rate of increase for an accumulating counter.
 
latest(X)

Returns the chronologically latest (most recent) seen occurrence of a value of a field X.  
latest_time(X)

Returns the UNIX time of the latest (most recent) occurrence of a value of the field. Used in conjunction with earliest(x) , earliest_time(x) , and latest(x) to calculate the rate of increase for an accumulating counter.
 
per_day(X)

Returns the values of field X, or eval expression X, for each day.  
per_hour(X)

Returns the values of field X, or eval expression X, for each hour.  
per_minute(X)

Returns the values of field X, or eval expression X, for each minute.  
per_second(X)

Returns the values of field X, or eval expression X, for each second.  
rate(X)

Returns the persecond rate change of the value of the field. Represents (latest(X)  earliest(X)) / (latest_time(X)  earliest_time(X)) Requires the earliest(X) and latest(X) values of the field to be numerical, and the earliest_time(X) and latest_time(X) values to be different.

See also
PREVIOUS Trig and Hyperbolic functions 
NEXT Aggregate functions 
This documentation applies to the following versions of Splunk^{®} Enterprise: 7.2.0, 7.2.1, 7.2.2, 7.2.3, 7.2.4, 7.2.5, 7.2.6, 7.2.7, 7.2.8, 7.2.9, 7.2.10, 7.3.0, 7.3.1, 7.3.2, 7.3.3, 7.3.4, 7.3.5, 7.3.6, 7.3.7, 7.3.8, 7.3.9, 8.0.0, 8.0.1, 8.0.2, 8.0.3, 8.0.4, 8.0.5, 8.0.6, 8.0.7, 8.0.8, 8.0.9, 8.0.10
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