type (for LookML dashboards)

This section refers to the type parameter that is part of a dashboard element.
type can also be used as part of a dashboard filter, described on the Dashboard parameters documentation page.
type can also be used as part of a join, described on the type documentation page.
type can also be used as part of a dimension, described on the Dimension, filter, and parameter types documentation page.
type can also be used as part of a measure, described on the Measure types documentation page.

The type parameter determines the type of visualization to be used in a LookML dashboard element, which is created using the elements parameter. The type parameter is defined with other LookML dashboard parameters in a dashboard.lkml file.

Usage

The type parameter for LookML dashboards accepts the following values:

elements:
- name: element_name
  type: looker_column | looker_bar | looker_scatter | looker_line | looker_area | looker_pie |
        looker_donut_multiples | looker_funnel | looker_timeline | looker_waterfall | text | single_value |
        looker_single_record | table | looker_grid | looker_map | looker_google_map | looker_geo_coordinates |
        looker_geo_choropleth | looker_boxplot | button

LookML dashboard element types

looker_column If multiple measures are specified, each measure becomes a y-axis series. If pivots are present, each pivot and measure combination becomes a y-axis series. If no measures are specified, two dimensions can be plotted.	looker_bar    If multiple measures are specified, each measure becomes an x-axis series. If pivots are present, each pivot and measure combination becomes an x-axis series. If no measures are specified, two dimensions can be plotted.
looker_scatter If two dimensions are specified, the first dimension is placed on the y-axis and the second dimension is placed on the x-axis. If multiple measures are specified, each measure becomes a y-axis series. If pivots are present, each pivot and measure combination becomes a y-axis series. If no measures are specified, two dimensions can be plotted.	looker_line If multiple measures are specified, each measure becomes a y-axis series. If pivots are present, each pivot and measure combination becomes a y-axis series. If no measures are specified, two dimensions can be plotted.
looker_area If multiple measures are specified, each measure becomes a y-axis series. If pivots are present, each pivot and measure combination becomes a y-axis series. If no measures are specified, two dimensions can be plotted.	looker_pie Elements of type: looker_pie require one dimension and one measure.
looker_donut_multiples Elements of type: looker_donut_multiples require one regular dimension, one pivoted dimension, and one measure. Each value of the regular dimension defines the donuts, and each value of the pivoted dimension defines the slices.	looker_funnel Elements of type: looker_funnel are composed from a single set of numbers and a single set of labels, defined using the dimensions and measures parameters.
looker_timeline To create an element of type: looker_timeline, your query must include values for the dimensions and measures parameters, including at least one dimension representing the label field, such as a name, as well as a start field and an end field, which can be a date or number. See the Timeline chart options documentation page for more information about the minimum requirements for creating timeline charts in Looker.	looker_waterfall Elements of type: looker_waterfall require either one dimension and one measure or no dimensions and one or more measures.
text Elements of type: text display static text elements with various text sizes.	single_value Elements of type: single_value display a single measure or dimension. If the query returns more than one cell, the first measure displays; if there are no measures, the first dimension displays.
looker_single_record Elements of type: looker_single_record accept any number of dimensions and measures. Pivots are not supported. If the query returns multiple rows, only the first one is shown.	table Elements of type: table accept any number of dimensions, pivots, and measures.
looker_grid Elements of type: looker_grid accept any number of dimensions, pivots, and measures.	looker_map Elements of type: looker_map are useful for visualizing geographic data on responsive and interactive maps. A looker_map element requires at least one dimension that is of type: location or type: zipcode, or that has a map layer associated with it.
looker_geo_coordinates Elements of type: looker_geo_coordinates are useful for plotting data that is represented by points. To plot regions, use looker_geo_choropleth. Coordinates maps plot a single measure and a single dimension of type: location or type: zipcode. Additional dimensions will show in the tooltip on hover.	looker_geo_choropleth Elements of type: looker_geo_choropleth are useful for plotting data that is represented by regions. To plot individual points, use looker_geo_coordinates. Choropleth maps plot a single measure and a single dimension of type: string, which contains either a US state (map: usa) or an ISO 3166-1 alpha-3 country code (map: world). Additional dimensions will show in the tooltip on hover.
looker_google_map Elements of type: looker_google_map are useful for plotting geographic data on responsive and interactive maps. A looker_google_map element requires at least one dimension that is of type: location or type: zipcode, or that has a map layer associated with it. Google Map charts are supported only by LookML dashboards with preferred_viewer set to dashboards-next.	looker_boxplot Elements of type: looker_boxplot are useful for visualizing the distribution and spread of values in your dataset. They can be especially useful for comparing values across categories. Boxplot elements require at least one dimension, along with either two, three, or five measures.
button Elements of type: button are useful for placing links within your dashboards. You can link to Looker content, such as Looks and dashboards, or to other websites. Buttons are supported only by LookML dashboards with preferred_viewer set to dashboards-next.