Whole Table Statistics - Platform For AI - Alibaba Cloud Documentation Center

The Whole Table Statistics component is used to collect statistics of data in a table or only selected columns.

Configure the component

You can use one of the following methods to configure the Whole Table Statistics component.

Method 1: Configure the component on the pipeline page

You can configure the parameters of the Whole Table Statistics component on the pipeline page of Machine Learning Designer of Machine Learning Platform for AI (PAI). Machine Learning Designer is formerly known as Machine Learning Studio. The following table describes the parameters.


Tab	Parameter	Description
Fields Setting	Input Columns (All Columns by Default)	Click Select Column to select input columns. By default, all columns are selected.
Tuning	Cores	The number of cores.
Tuning	Memory Size	The memory size of each core.

Method 2: Use PAI commands

Configure the component parameters by using PAI commands. You can use the SQL Script component to call PAI commands. For more information, see SQL Script.

 PAI -name stat_summary
-project algo_public
-DinputTableName=test_data
-DoutputTableName=test_summary_out
-DinputTablePartitions="ds='20160101'"
-DselectColNames=col0,col1,col2
-Dlifecycle=1


Parameter	Description	Required
inputTableName	The name of the input table.	Yes
outputTableName	The name of the output table.	Yes
inputTablePartitions	The partitions in the input table. By default, all partitions are selected.	No
selectColNames	The names of the columns that are selected for statistics.	No
lifecycle	The lifecycle of the output table. By default, the output table has no lifecycle. Note The value must be a positive integer.	No
coreNum	The number of cores. Note The value must be a positive integer.	No
memSizePerCore	The memory size of each core. Unit: MB. Valid values: [1024,64 x 1024]. Note The value must be a positive integer.	No

Output format

The following table describes all the columns in the output table.


Column	Description
colname	The name of the column.
datatype	The data type.
totalcount	The total number.
count	The number of non-NULL values.
missingcount	The number of NULL values.
nancount	The number of NaN values.
positiveinfinitycount	The number of positive infinity values.
negativeinfinitycount	The number of negative infinity values.
min	The minimum value.
max	The maximum value.
mean	The average value.
variance	The variance.
standarddeviation	The standard deviation.
standarderror	The standard error.
skewness	The skewness.
kurtosis	The kurtosis.
moment2	The second moment.
moment3	The third moment.
moment4	The fourth moment.
centralmoment2	The second central moment.
centralmoment3	The third central moment.
centralmoment4	The fourth central moment.
sum	The sum.
sum2	The sum of squares.
sum3	The sum of cubes.
sum4	The sum of the fourth powers.

Example

Input data

drop table if exists summary_test_input;
create table summary_test_input as
select
  *
from
(
  select 'a' as col1, 1 as col2, 0.001 as col3 from dual
    union all
  select 'b' as col1, 2 as col2, 100.01 as col3 from dual
) tmp;

PAI command

PAI -name stat_summary
-project algo_public
-DinputTableName=summary_test_input
-DoutputTableName=summary_test_input_out
-DselectColNames=col1,col2,col3
-Dlifecycle=1;

Output result

    | colname    | datatype   | totalcount | count      | missingcount | nancount   | positiveinfinitycount | negativeinfinitycount | min        | max        | mean       | variance   | standarddeviation | standarderror | skewness   | kurtosis   | moment2    | moment3    | moment4    | centralmoment2 | centralmoment3 | centralmoment4 | sum        | sum2       | sum3       | sum4       |
    | col1       | string     | 2          | 2          | 0            | 0          | 0                     | 0                     | NULL       | NULL       | NULL       | NULL       | NULL              | NULL          | NULL       | NULL       | NULL       | NULL       | NULL       | NULL           | NULL           | NULL           | NULL       | NULL       | NULL       | NULL       |
    | col2       | bigint     | 2          | 2          | 0            | 0          | 0                     | 0                     | 1          | 2          | 1.5        | 0.5        | 0.7071067811865476 | 0.5           | 0          | -2         | 2.5        | 4.5        | 8.5        | 0.25           | 0              | 0.0625         | 3          | 5          | 9          | 17         |
    | col3       | double     | 2          | 2          | 0            | 0          | 0                     | 0                     | 0.001      | 100.01     | 50.0055    | 5000.900040500001 | 70.71704207968544 | 50.00450000000001 | 2.327677906939552e-16 | -1.999999999999999 | 5001.000050500001 | 500150.0150005006 | 50020003.00020002 | 2500.45002025  | 2.91038304567337e-11 | 6252250.303768232 | 100.011    | 10002.000101 | 1000300.030001001 | 100040006.0004 |