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.

 

Get Updates on the Splunk Community!

Introducing the Splunk Community Dashboard Challenge!

Welcome to Splunk Community Dashboard Challenge! This is your chance to showcase your skills in creating ...

Get the T-shirt to Prove You Survived Splunk University Bootcamp

As if Splunk University, in Las Vegas, in-person, with three days of bootcamps and labs weren’t enough, now ...

Wondering How to Build Resiliency in the Cloud?

IT leaders are choosing Splunk Cloud as an ideal cloud transformation platform to drive business resilience,  ...