Visualization types

Note: Ask your admin to enable the new KPI Visualization preview feature, which lets you do the following:

• Add secondary visualizations: Users can add a sparkline or bar chart within a visualization to show trends or distributions that are related to the primary KPI.
• Show enhanced comparisons: Users can specify and compare a primary value against any other measure in an Explore query, using data from the first row, second row, last row, or the totals row.
• Access improved styling options: Users have more control over the appearance of the visualization, including background color of the tile, and the alignment of the values.

Learn more about the new KPI (Single Value) Visualization.

Looker has many visualizations that you can use to make sense of your data. Each type of visualization has different settings that you can use to customize its appearance. The following links provide information about each visualization and its settings.

Tip: For information about choosing a visualization type that best fits your data, see the Selecting an effective data visualization documentation page.

Cartesian charts

• Column
• Bar
• Scatterplot
• Line
• Area
• Boxplot
• Waterfall

Pie and donut charts

• Pie
• Donut Multiples

Progression charts

• Funnel
• Timeline

Text and tables

• Single Value
• Single Record
• Table
• Table (Legacy)
• Word Cloud

Maps

• Google Maps
• Map
• Static Map (Regions)
• Static Map (Points)

Chart Config Editor

If you have the can_override_vis_config permission, you can use the Chart Config Editor to create the following visualization types:

• Bullet
• Solid gauge
• Streamgraph
• Treemap
• Sankey
• Dependency wheel
• Venn diagram
• Sunburst
• Item

Custom visualizations

Note: This page lists Looker's built-in visualization types. If your Looker developer has added any custom visualization types to Looker, you may see additional options in the ellipsis (...) menu in the Visualization pane of the Explore page.