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label =
description =
search_fragment =
default_height = 250
default_width = 250
trellis_default_height = 400
allow_user_selection = True
supports_trellis = False
supports_drilldown = False
supports_export = False
data_sources = primary
data_sources.primary.params.show_metadata = true
# Splunk core visualizations - DO NOT EDIT
[line]
label = Line Chart
description = Track values and trends over time.
search_fragment = | timechart count [by comparison_category]
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-line
core.preview_image = line.png
core.order = 1
core.type = visualizations
core.viz_type = charting
core.charting_type = line
core.recommend_for = timechart, predict
core.height_attribute = display.visualizations.chartHeight
data_sources = primary,annotation
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
data_sources.annotation.params.output_mode = json_cols
data_sources.annotation.params.count = 1000
[area]
label = Area Chart
description = Track changes in aggregated values over time.
search_fragment = | timechart count [by comparison_category]
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-area
core.preview_image = area.png
core.order = 2
core.type = visualizations
core.viz_type = charting
core.charting_type = area
core.recommend_for = timechart
core.height_attribute = display.visualizations.chartHeight
data_sources = primary,annotation
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
data_sources.annotation.params.output_mode = json_cols
data_sources.annotation.params.count = 1000
[column]
label = Column Chart
description = Compare values or fields.
search_fragment = | stats count by comparison_category
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-column
core.preview_image = column.png
core.order = 3
core.type = visualizations
core.viz_type = charting
core.charting_type = column
core.recommend_for = timechart, top, rare
core.height_attribute = display.visualizations.chartHeight
data_sources = primary,annotation
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
data_sources.annotation.params.output_mode = json_cols
data_sources.annotation.params.count = 1000
[bar]
label = Bar Chart
description = Compare values or fields.
search_fragment = | stats count by comparison_category
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-bar
core.preview_image = bar.png
core.order = 4
core.type = visualizations
core.viz_type = charting
core.charting_type = bar
core.recommend_for = top, rare
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[pie]
label = Pie Chart
description = Compare categories in a dataset.
search_fragment = | stats count by comparison_category
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-pie
core.preview_image = pie.png
core.order = 5
core.type = visualizations
core.viz_type = charting
core.charting_type = pie
core.recommend_for = top, rare
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[scatter]
label = Scatter Chart
description = Show relationships between discrete values in two dimensions.
search_fragment = | stats x_value_aggregation y_value_aggregation by name_category [comparison_category]
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-scatter
core.preview_image = scatter.png
core.order = 6
core.type = visualizations
core.viz_type = charting
core.charting_type = scatter
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[bubble]
label = Bubble Chart
description = Show relationships between discrete values in three dimensions.
search_fragment = | stats x_value_aggregation y_value_aggregation size_aggregation by name_category [comparison_category]
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = chart-bubble
core.preview_image = bubble.png
core.order = 7
core.type = visualizations
core.viz_type = charting
core.charting_type = bubble
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[singlevalue]
label = Single Value
description = Track a metric with context and trends.
search_fragment = | timechart count
default_height = 115
default_width = 300
min_height = 50
min_width = 100
max_height = 10000
trellis_min_widths = 70, 130, 230
trellis_per_row = 10, 6, 4
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = single-value
core.preview_image = singlevalue.png
core.order = 8
core.type = visualizations
core.viz_type = singlevalue
core.recommend_for = timechart
core.height_attribute = display.visualizations.singlevalueHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.offset = 0
data_sources.primary.params.count = 1000
[radialGauge]
label = Radial Gauge
description = Show a single value in relation to customized ranges.
search_fragment = | stats count
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = False
supports_export = True
supports_trellis = True
core.icon = gauge-radial
core.preview_image = radialGauge.png
core.order = 9
core.type = visualizations
core.viz_type = charting
core.charting_type = radialGauge
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[fillerGauge]
label = Filler Gauge
description = Show a single value and its current range.
search_fragment = | stats count
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = False
supports_export = True
supports_trellis = True
core.icon = gauge-filler
core.preview_image = fillerGauge.png
core.order = 10
core.type = visualizations
core.viz_type = charting
core.charting_type = fillerGauge
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[markerGauge]
label = Marker Gauge
description = Show a single value in relation to customized ranges.
search_fragment = | stats count
default_height = 300
default_width = 300
min_height = 100
min_width = 100
max_height = 10000
supports_drilldown = False
supports_export = True
supports_trellis = True
core.icon = gauge-marker
core.preview_image = markerGauge.png
core.order = 11
core.type = visualizations
core.viz_type = charting
core.charting_type = markerGauge
core.height_attribute = display.visualizations.chartHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.count = $display.visualizations.charting.data.count:JSCHART_RESULTS_LIMIT:10000$
data_sources.primary.params.offset = 0
[mapping]
label = Cluster Map
description = Show aggregated values in a geographic region.
search_fragment = | geostats count [by category] latfield=lat longfield=lon
default_height = 400
default_width = 600
min_height = 200
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = False
core.icon = location
core.preview_image = mapping.png
core.order = 12
core.type = visualizations
core.viz_type = mapping
core.mapping_type = marker
core.recommend_for = geostats
core.height_attribute = display.visualizations.mapHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.offset = 0
data_sources.primary.params.count = $display.visualizations.mapping.data.maxClusters:100$
data_sources.primary.mapping_filter = true
data_sources.primary.mapping_filter.center = $display.visualizations.mapping.map.center:(0,0)$
data_sources.primary.mapping_filter.zoom = $display.visualizations.mapping.map.zoom:2$
data_sources.primary.params.search = geofilter south=$south$ west=$west$ north=$north$ east=$east$ maxclusters=$display.visualizations.mapping.data.maxClusters:100$
[choropleth]
label = Choropleth Map
description = Show how values vary over a geographic region.
search_fragment = | stats count by featureId | geom geo_countries featureIdField=featureId
default_height = 400
default_width = 300
min_height = 200
min_width = 100
max_height = 10000
supports_drilldown = True
supports_export = True
supports_trellis = True
core.icon = choropleth-map
core.preview_image = choropleth.png
core.order = 13
core.type = visualizations
core.viz_type = mapping
core.mapping_type = choropleth
core.recommend_for = geom
core.height_attribute = display.visualizations.mapHeight
data_sources = primary
data_sources.primary.params.output_mode = json_cols
data_sources.primary.params.offset = 0
data_sources.primary.params.count = $CHOROPLETH_SHAPE_LIMIT:10000$
data_sources.primary.mapping_filter = true
data_sources.primary.mapping_filter.center = $display.visualizations.mapping.map.center:(0,0)$
data_sources.primary.mapping_filter.zoom = $display.visualizations.mapping.map.zoom:2$
data_sources.primary.params.search = geomfilter min_y=$south$ min_x=$west$ max_y=$north$ max_x=$east$
[statistics]
label = Statistics Table
description = Show results organized in rows and columns.
default_height = 300
default_width = 300
min_height = 0
min_width = 100
max_height = 1000
supports_trellis = False
supports_drilldown = True
supports_export = True
core.icon = table
core.preview_image = statistics.png
core.order = 14
core.type = statistics
core.recommend_for = timechart, top, rare, predict
data_sources = primary
data_sources.primary.params.output_mode = json_rows
data_sources.primary.params.sort_key = $display.statistics.sortColumn:$
data_sources.primary.params.sort_direction = $display.statistics.sortDirection:$
data_sources.primary.params.count = 20
data_sources.primary.params.offset = 0
[events]
label = Events
description = List events from search results.
default_height = 300
default_width = 300
min_height = 0
min_width = 100
max_height = 1000
supports_trellis = False
supports_drilldown = True
supports_export = True
core.icon = list
core.preview_image = events.png
core.order = 15
core.type = events

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