![]() ![]() Syntax defines how a function must be used. Note: You can learn more about the purpose of each function from the Google help documentation on each function: #2 Every function in Looker Studio has syntax Similarly, the ‘COUNT’ function is used to count the number of items in a field. The ‘AVG’ function is used to calculate the average value of a numeric field. Yes I want the FREE ebook #1 Every function in Looker Studio has some purposeįor example, the ‘CASE’ function is used to create new fields that use conditional logic to determine the field values. You can use metrics as part of a calculated formula for a new column.My step-by-step blueprint for using Looker Studio (formerly Google Data Studio) Get the FREE ebook on Looker Studio (75 Pages) Notice that the new metric appears in the pivot table. Drag the metrics into the Values area of the pivot table specification.Īlternatively, click the plus icon,, in the Values area, and select the metric from the drop-down menu.In pivot tables, you can add metrics to the Values area.Īdd the metric by dragging it from the Metrics table to the Values area: Notice that it contains the metric you added. When you hover over the visualization element, the tooltip appears. Choose the metric from the list, and drag it to the Select column area.Īlternatively, click the plus icon,, in the Select column area, and choose the metric from the drop-down menu.Under the Marks options, select the Tooltip tab.To add a metric to the visualization's tooltip, follow these steps: In the menu, under the Metrics header, select the metric.Click (plus/new icon) next to the name of the axis.To add a metric to the value axis of the visualization, you can drag the metric from the Metrics tab into the axis specification area. Here, we demonstrate how to add metrics to the value axis and tooltips. In other visualizations, the metrics can specify the color scale, main KPI parameters, tooltips, and others. In many visualization types, you can place a metric on the value axis typically, this is the Y-axis. ![]() ![]() In the menu, under the Metrics header, select the metric to aggregate the grouping.To add a metric to the summary of a table, follow these steps: The menu groups the metrics, so you can find them easier. In the drop-down menu, select the metric.In the Calculations area, click the plus icon.Click on the metric, and drag it into the Calculations area.Īlternatively, add the metric in the element itself:.Under the Groupings header, ensure that you have at least one grouping.You can add metrics to calculations of the grouping by dragging the metric: Metrics in calculations of a grouping level You can add metrics to many workbook data elements by either dragging metrics onto the correct area in the configuration sidebar, or by using the Add functionality (the plus icon, ). Descriptions of the metrics appear as you scroll through the menu. To find which metrics are in the system already, type "metrics", and scroll through the available options. Simply type the name of the metric, and Sigma auto-completes it for you. Metric suggestions also appear in the formula bar.To create new metrics, see Create a metric. All defined metrics appear in the Metrics tab. Metrics are specific to an element's data source. Hover over any metric to see its description and formula.In a workbook, you can view available metrics of a data element in the Element properties > Metrics tab.You must be the workbook owner, or have the Can Explore/ Can Edit workbook permissions.Your account type must have the Explore Workbook or Edit Workbook permissions.To use metrics in workbooks, you must have the following access: For more information about metrics in datasets or connection tables, and on how to create, edit, and delete these metrics, see Create and manage metrics. This document explains how to use metrics in a workbook to perform standard calculations with ease and efficiency. Define metrics at the level of the data source, and apply them to workbooks to ensure consistent metric logic across tables, visualizations, and pivot tables. Metrics are custom aggregate calculations that you can reuse across workbook data elements that share the same data source: a dataset or a connection table. ![]()
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