Logo
Resources
Documentation Portal Ideas Portal Logpoint Academy License Portal
Resources
Documentation Portal Ideas Portal Logpoint Academy License Portal
Sign in
  1. Logpoint Service Desk
  2. Products Hub
  3. Marketplace

General Description

Experimental Median Quartile Quantile includes commands to perform statistical analysis (median, quartile, and quantile) of events based on fields. All these commands take numerical field values as input.

For LogPoint v7.1.0 and later For LogPoint v6.3.0 to v7.0.2 For LogPoint v6.0.0 to v6.2.0

Release Date: July 28, 2022

Download: Experimental Median Quartile Quantile v5.0.0.pak

SHA256:  d424a848113cbb2ec1d7a578e59208fd6e35a6b91a85d9ac87c892688698c283

Enhancement

Description

Issue ID

Reference ID

Experimental Median Quartile Quantile has been updated to comply with LogPoint v7.1.0.

PLUG-8897

-

 

Usage Information

Median:

This chart command allows you to calculate the statistical median from the provided field.

Syntax: | chart median(fieldname) as string

For example, "| chart median(doable_mps) as Median" command calculates the median for the values of field doable_mps from event logs and assigns the calculated value to the Median field. 

image2018-5-23_14_20_45.png

Quartile:

This chart command allows you to calculate the statistical quartile from the provided field. This is helpful in understanding the normal profile for the particular field value.

Syntax: | chart quartile(fieldname) as string1, string2, string3. 

Here, string1, string2, and string3 are optional fields. The default fields are Q1, Q2, and Q3.

For example, "| chart quartile(doable_mps)" command calculates the quartile for the values of doable_mps and assigns the calculated value to the Q1, Q2, and Q3 fields. This gives three values for dividing the entire range field doable_mps into four parts. 

image2018-5-23_14_24_42.png

Quantile:

This process command performs dynamic enrichment to add a new field quantile. This new field includes values taken at regular intervals from the inverse of the cumulative distribution function (CDF) of an interesting field from event logs. This allows Security Analysts to find unique and rare logs.

Syntax: | process quantile(fieldname)

For example, "| process quantile(doable_mps)" command calculates the quantile for the values of doable_mps and assigns the calculated value to the quantile field. 

image2018-5-24_12_41_4.png

Installation

To install Experimental Median Quartile Quantile:

  1. Download the .pak file provided above in Download.
  2. Go to Settings >> System Settings >> Applications.

  3.  Click Import.

  4.  Browse to the downloaded .pak file.

  5. Click Upload.


Release Details

Fields

Details

Name

Experimental Median Quartile Quantile

Version

3.0.0

Supported On

LogPoint v6.3.0 to v7.0.2

Release Date

2018-07-30
Document Date

2018-07-30

Download

Experimental_Median_Quartile_Quantile_3.0.0.pak

SHA256

09d90a97e9fe35d383dabe2f2c13a95b668dacfda133e39a06ce964257fab341

Usage Information

Median:

This chart command allows you to calculate the statistical median from the provided field.

Syntax: | chart median(fieldname) as string

For example, "| chart median(doable_mps) as Median" command calculates the median for the values of field doable_mps from event logs and assigns the calculated value to the Median field. 

image2018-5-23_14_20_45.png

Quartile:

This chart command allows you to calculate the statistical quartile from the provided field. This is helpful in understanding the normal profile for the particular field value.

Syntax: | chart quartile(fieldname) as string1, string2, string3. 

Here, string1, string2, and string3 are optional fields. The default fields are Q1, Q2, and Q3.

For example, "| chart quartile(doable_mps)" command calculates the quartile for the values of doable_mps and assigns the calculated value to the Q1, Q2 and Q3 fields. This gives three values for dividing entire range field doable_mps into four parts. 

image2018-5-23_14_24_42.png

Quantile:

This process command performs dynamic enrichment to add new field ”quantile”. This new field includes values taken at regular intervals from the inverse of the cumulative distribution function (CDF) of an interesting field from event logs. This allows Security Analysts to find unique and rare logs.

Syntax: | process quantile(fieldname)

For example, "| process quantile(doable_mps)" command calculates the quantile for the values of doable_mps and assigns the calculated value to the quantile field. 

image2018-5-24_12_41_4.png

Installation

Follow these steps to install the Experimental Median Quartile Quantile Plugin v3.0.0:

  1. Download the Experimental Median Quartile Quantile Plugin package provided above in the Download section.
  2. Install the package by importing the pak file to LogPoint under Settings >> System >> Applications.

Release Details

Fields

Details

Name

Experimental Median Quartile Quantile

Version

3.0.0

Supported On

LogPoint v6.0.0 to v6.2.0

Release Date

2017-06-26

Document Date

2017-06-26

Download

Experimental_Median_Quartile_Quantile_3.0.0.pak

SHA256 09d90a97e9fe35d383dabe2f2c13a95b668dacfda133e39a06ce964257fab341

Usage Information

Median:

This chart command allows you to calculate the statistical median from the provided field.

Syntax: | chart median(fieldname) as string

For example, "| chart median(doable_mps) as Median" command calculates the median for the values of field doable_mps from event logs and assigns the calculated value to the Median field. 

median.png

Quartile:

This chart command allows you to calculate the statistical quartile from the provided field. This is helpful in understanding the normal profile for the particular field value.

Syntax: | chart quartile(fieldname) as string1, string2, string3. 

Here, string1, string2, and string3 are optional fields. The default fields are Q1, Q2, and Q3.

For example, "| chart quartile(doable_mps)" command calculates the quartile for the values of doable_mps and assigns the calculated value to the Q1, Q2 and Q3 fields. This gives three values for dividing entire range field doable_mps into four parts. 

quartile.png

Quantile:

This process command performs dynamic enrichment to add new field ”quantile”. This new field includes values taken at regular intervals from the inverse of the cumulative distribution function (CDF) of an interesting field from event logs. This allows Security Analysts to find unique and rare logs.

Syntax: | process quantile(fieldname)

For example, "| process quantile(doable_mps)" command calculates the quantile for the values of doable_mps and assigns the calculated value to the quantile field. 

quantile.png

Installation

Follow these steps to install the Experimental Median Quartile Quantile Plugin v3.0.0:

  1. Download the Experimental Median Quartile Quantile Plugin package provided above in the Download section.
  2. Install the package by importing the pak file to LogPoint under Settings >> System >> Applications.

Support

If you have any queries or require assistance, please feel free to contact our support team: 

Email: servicedesk@logpoint.com
Phone: +45 7060 6100

Best regards,
MicrosoftTeams-image__12___1___1_.png

Comments

Article is closed for comments.

Follow

Related articles

  • Evaluation Process Plugin
  • Format Date Process Plugin
  • ExtraHop
  • Oracle Enrichment Source
  • Codec Process Plugin
Privacy policy    EULA    Terms of service   
Copyright © , Logpoint. All rights reserved.

Note: We use cookies that are essential for the smooth functioning of our website.