Dashboards & Visualizations

Bar chart visualization

Naa_Win
Path Finder

Hello,

I have a below values in lookup and trying to achieve below bar chart view. 
Country     old_limit        old_spend_limit      new_limit          new_spend_limit
   USA            84000             37000                       121000                   43000
  Canada     149000           103000                     214000                 128000

old_limit = PRE
new_limit = POST

 

Naa_Win_0-1696988676878.png

 

Labels (1)
Tags (2)
0 Karma
1 Solution

bowesmana
SplunkTrust
SplunkTrust

You can do it by creating a stacked bar and setting the limit to be the gap (limit-spend) and creating the rows needed for the 4 groups.

Here's an example, but I suspect there is a better way

| makeresults 
| eval _raw="Country,old_limit,old_spend_limit,new_limit,new_spend_limit
USA,84000,37000,121000,43000
Canada,149000,103000,214000,128000" 
| multikv forceheader=1 
| table Country old_limit old_spend_limit new_limit new_spend_limit
| foreach *_spend_limit [ eval "<<MATCHSEG1>>_gap"='<<MATCHSEG1>>_limit'-<<FIELD>>, type=if("<<MATCHSEG1>>"="old", "Pre", "Post"), MV=mvappend(mvzip(mvzip('<<MATCHSEG1>>_gap', '<<FIELD>>', ";"), type, ";"), MV) ]
| fields Country MV
| mvexpand MV
| rex field=MV "(?<gap>[^\;]*);(?<spend>[^\;]*);(?<type>.*)"
| eval Country=Country." ".type
| fields Country gap spend

This just creates a gap;spend field for each type (pre/post) and then expands the pair for each country.

 

View solution in original post

Naa_Win
Path Finder

@bowesmana  Thank you !!!

I had modified the query and and achieved what I'm looking for.....

| foreach *_spend_limit
[ eval type=if(match("<<MATCHSEG1>>","old"), "Pre", "Post"), MV=mvappend(mvzip(mvzip('<<MATCHSEG1>>_limit', '<<FIELD>>', ";"), type, ";"), MV) ]
| fields market MV
| mvexpand MV
| rex field=MV "(?<limit>[^\;]*);(?<spend>[^\;]*);(?<type>.*)"
| eval market=market." ".type
| fields market limit spend

 

0 Karma

bowesmana
SplunkTrust
SplunkTrust

You can do it by creating a stacked bar and setting the limit to be the gap (limit-spend) and creating the rows needed for the 4 groups.

Here's an example, but I suspect there is a better way

| makeresults 
| eval _raw="Country,old_limit,old_spend_limit,new_limit,new_spend_limit
USA,84000,37000,121000,43000
Canada,149000,103000,214000,128000" 
| multikv forceheader=1 
| table Country old_limit old_spend_limit new_limit new_spend_limit
| foreach *_spend_limit [ eval "<<MATCHSEG1>>_gap"='<<MATCHSEG1>>_limit'-<<FIELD>>, type=if("<<MATCHSEG1>>"="old", "Pre", "Post"), MV=mvappend(mvzip(mvzip('<<MATCHSEG1>>_gap', '<<FIELD>>', ";"), type, ";"), MV) ]
| fields Country MV
| mvexpand MV
| rex field=MV "(?<gap>[^\;]*);(?<spend>[^\;]*);(?<type>.*)"
| eval Country=Country." ".type
| fields Country gap spend

This just creates a gap;spend field for each type (pre/post) and then expands the pair for each country.

 

Career Survey
First 500 qualified respondents will receive a $20 gift card! Tell us about your professional Splunk journey.

Can’t make it to .conf25? Join us online!

Get Updates on the Splunk Community!

Take Action Automatically on Splunk Alerts with Red Hat Ansible Automation Platform

 Are you ready to revolutionize your IT operations? As digital transformation accelerates, the demand for ...

Calling All Security Pros: Ready to Race Through Boston?

Hey Splunkers, .conf25 is heading to Boston and we’re kicking things off with something bold, competitive, and ...

Beyond Detection: How Splunk and Cisco Integrated Security Platforms Transform ...

Financial services organizations face an impossible equation: maintain 99.9% uptime for mission-critical ...