This way, a user who may be looking for an analysis of the number of customers over time could swap out “revenue” for “number of customers” in the period-over-period analysis and be good to go. If you had an Explore containing orders data for an e-commerce company, for example, you may choose to build one Quick Start showing the total revenue for each category by state, and another showing a period-over-period analysis of revenue by month for the past 3 years.
Demonstrating the power of Explores to highlight key types of analyses that can be created from a specific Explore page.From there, you can modify the selected fields to find the specific answers you’re looking for. Quick Starts enable you to jump right into an analysis with a single click on the Explore page. Whether you are brand new to Looker or an Explore pro, this capability will be equally useful. We’re introducing Quick Starts to make it easier for all users to get started and easily explore data in Looker. People finding themselves building the same types of analyses over and over often instead start from an existing analysis, choose “Explore from Here,” select a relevant dashboard tile, and modify the fields as needed. Different naming conventions or model structures can require a learning curve when bouncing between various Explores on their instance.
On the other hand, if you’re an experienced Looker data explorer, you likely understand that while Explores can be intimidating at first, they offer a gateway to virtually unlimited data analysis.Įven power users, though, often don’t want to build queries from scratch.
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Looker Explore users may recall their first encounter as landing on the page, seeing all the dimensions and measures on the left, and getting the sense that this tool would be incredibly powerful, even though they weren’t exactly sure how to start using it.