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The source code stanza of a visualization

When you add a visualization to your dashboard, a corresponding JSON stanza is created in the dashboard definition and given a unique ID.

There are two types of visualizations, those that begin with viz.<visualization>, such as the pie chart, viz.pie, and those that begin with splunk.<visualization>, such as splunk.table. Those visualizations that are of type splunk.<visualization> have options and settings that look different than many of the static and dynamic settings of those of the viz.<visualization> type. Additionally, while viz.<visualization> types that support dynamic elements, or thresholding, have a section called encoding where ranges and colors are set, splunk.<visualization> stanzas have an different section called context, where option variables are set before they are called in the options section of the visualization.

For more information on each chart and their formatting options, see Charts. Other visualizations have their own chapters.

Most viz.<visualization> visualizations follow the same general format. For example, the following stanza represents a basic pie chart:

"viz_8bucihWZ": {
	"type": "viz.pie",
	"options": {
		"chart.showPercent": true
	"dataSources": {
		"primary": "ds_IULrzuI8"

A pie chart with dynamically updating colors and percentages.

Most splunk.<visualization> visualizations have the same initial format as the viz.<visualization> type, but become more complex when you apply dynamic formatting. For example, the following stanza represents a table with one column, the field splunk_web_access, formatted by gradient coloring. The colors are represented by the gradientConfig property set in the context section of the stanza and called in the top-level options section of the visualization stanza. Note that there are other options set as well.

   "type": "splunk.table",
   "options": {
       "columnFormat": {
           "_time": {
               "data": "> table | seriesByName(\"_time\") | formatByType(timeConfig)"
           "splunk_web_access": {
               "rowBackgroundColors": "> table | seriesByName(\"splunk_web_access\") | gradient(gradientConfig)",
               "width": 160,
               "textOverflow": "break-word"
   "dataSources": {
       "primary": "ds_IzyyreSf"
   "context": {
       "timeConfig": {
           "time": {
               "format": "dddd, MMMM Do YYYY, h:mm:ss a"
       "gradientConfig": {
           "colors": [

The following is an example of a table visualization with dynamic elements.

A table with one column dynamically colored green.

Visualization fields and settings

Each visualization can have the following fields:

Field Description Required
The unique ID The unique ID is automatically generated, but can be changed. If you change it, however, you must also change the visualization's ID in the layout. Yes
type The type is the kind of visualization you are using. For example, the table visualization type is splunk.table. You can change the type in the source code, much like using the Visualization Picker in the visual editor. It might or might not render depending on the way your data is structured. Yes
title This is the title name you can give your visualization. It is not the same as the unique ID and will not change the unique ID. No
description You can use this field to describe your visualization within the visualization panel. No
options List your options in this field. The formatting depends on the type of option and its setting format. For example, boolean values and integer values don't have quotes, strings require quotes, and arrays and objects have their own formatting requirements. Each value that you can only add to a visualization through the source editor has an example and its correct formatting in the visualization's topic section. No
context This is the field where dynamic variable elements are defined. For example, if you've formatted a table to have a specific column colored according to value ranges, the associated variable is defined with the colors and their ranges. This variable is then called in the options section, possibly as a setting that is a top-level option or an option that is nested within a top level option. If dynamic elements are used, and only with visualizations of type, splunk.<visualization>.
dataSources.primary This is where the unique ID of your primary data source is listed. A visualization can have only one primary data source. No
dataSources.secondary This is where the unique IDs of all secondary data sources are listed. No
dataSources.annotation This is where the unique ID of your annotation data source is listed. Currently, "annotation" is the only secondary data source that has its own designated name. No

Available visualizations

You can configure the following visualization types using the source editor:

Visualization type Syntax
Area chart viz.area
Bar chart viz.bar
Bubble chart viz.bubble
Choropleth map (US or world) viz.geojson.us or viz.geojson.world
Choropleth SVG splunk.choropleth.svg
Column chart viz.column
Ellipse viz.ellipse
Filler gauge viz.fillergauge
Image viz.img
Line chart viz.line
Line shape abslayout.line
Markdown text viz.markdown
Marker gauge viz.markergauge
Pie chart viz.pie
Punchcard viz.punchcard
Rectangle viz.rectangle
Scatter chart viz.scatter
Single value splunk.singlevalue
Single value icon splunk.singlevalueicon
Single value radial chart viz.singlevalueradial
Table splunk.table
Text box viz.text
Last modified on 24 March, 2022
Format a choropleth SVG
How to format JSON stanzas

This documentation applies to the following versions of Splunk Cloud Platform: 8.2.2112

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