Getting Started with Table Calculations and Offsets in Looker
1.9 هزار بار بازدید -
9 ماه پیش
-
OverviewLooker is a modern data
Overview
Looker is a modern data platform in Google Cloud that lets you analyze and visualize your data interactively. You can use Looker to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications.
In this lab, you learn how to use Looker to analyze and visualize data using Explores, which are data views created by LookML developers. For this lab, an Explore of a simulated ecommerce dataset has been created for you. This dataset contains information on different attributes of orders and website users, such as the order date, items ordered, and the user associated with each order.
You can learn more about Explores in the Looker documentation at Exploring data in Looker.
In Looker, table calculations provide the functionality to create new metrics instantaneously, including from other rows or columns in a data table by leveraging offsets. You can use table calculations and offsets to easily prototype a new metric or to easily and quickly answer one-off questions using available data. Throughout this lab, you will use table calculations and offsets to create new metrics from simulated ecommerce data.
Objectives
In this lab, you learn how to use table calculations and offsets to create new metrics from data in Looker Explores.
- Utilize table calculations to calculate new metrics instantaneously.
- Leverage offsets to calculate new metrics from other rows and columns in a data table.
- Select the appropriate visualization type to best display results.
- Save visualizations to dashboards.
- Open and modify an existing dashboard.
#gcp #googlecloud #qwiklabs #learntoearn
Looker is a modern data platform in Google Cloud that lets you analyze and visualize your data interactively. You can use Looker to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications.
In this lab, you learn how to use Looker to analyze and visualize data using Explores, which are data views created by LookML developers. For this lab, an Explore of a simulated ecommerce dataset has been created for you. This dataset contains information on different attributes of orders and website users, such as the order date, items ordered, and the user associated with each order.
You can learn more about Explores in the Looker documentation at Exploring data in Looker.
In Looker, table calculations provide the functionality to create new metrics instantaneously, including from other rows or columns in a data table by leveraging offsets. You can use table calculations and offsets to easily prototype a new metric or to easily and quickly answer one-off questions using available data. Throughout this lab, you will use table calculations and offsets to create new metrics from simulated ecommerce data.
Objectives
In this lab, you learn how to use table calculations and offsets to create new metrics from data in Looker Explores.
- Utilize table calculations to calculate new metrics instantaneously.
- Leverage offsets to calculate new metrics from other rows and columns in a data table.
- Select the appropriate visualization type to best display results.
- Save visualizations to dashboards.
- Open and modify an existing dashboard.
#gcp #googlecloud #qwiklabs #learntoearn
9 ماه پیش
در تاریخ 1402/09/27 منتشر شده
است.
1,907
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