3/1/2023 0 Comments Unpivot add in for mac excel![]() The analysis will automatically run and display results, including the visualization. To run a Quick Start analysis, click the analysis that you want to see. Quick Start analyses provide a helpful starting point for quickly running and building analyses:Įach Quick Start analysis option will display the name of the analysis and, when available, a description.įor more information on how developers can model prebuilt analyses for users, see the query parameter documentation page.Ĭhoosing a Quick Start option from a blank Explore Modeled queries are available as Quick Start analysis options in Explores. The next section provides an in-depth overview of Quick Start analyses and how to use them as a starting point for exploring data. If an Explore contains modeled queries, you can use Quick Start analyses to populate fields. Then you've asked for a count of orders (the measure) for each of those days. In this case, all order records have been grouped together by day (the dimension). The following query displays the number of orders per day by querying the Order Items Explore and displaying one dimension ( ORDERS Created Date) and one measure ( ORDERS Count). In Looker, dimensions appear as blue columns and measures appear as orange columns in your data table. A measure is information about that bucket of data. A dimension can be thought of as a group or bucket of data. ![]() The data shown in an Explore is determined by the dimensions and measures you select from the field picker at the left. For example, when you have questions about items that are associated with an order, you might want to start exploring from the Order Items view. In the A Ecommerce store Explore, there are views for order items (the products that are associated with an order), orders (purchase events), products (information about inventory products), and users (individuals who are associated with purchase events). Within each Explore are views, which are groupings of dimensions and measures. Select the Explore option from the navigation panel to open the Explore menu:įrom the Explore menu, you can search for, select, and view an Explore: ![]() An Explore is a starting point for a query, designed to explore a particular subject area. The Explore menu presents a number of Explores for looking at your e-commerce store data. ![]() In this example, you operate an e-commerce store. After you read this page, you should understand where to start pulling data in Looker, how to modify a report to see more detail, and how to drill down to gain deeper insights.Įxplores are the starting point for exploration This page introduces you to data exploration with Looker. Save money with our transparent approach to pricing Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry ![]()
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