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Learning any new tool requires mastering certain basic concepts and techniques. This page will help you understand how to approach using Data Studio as a new user so that you can get started discovering insights and communicating them to your stakeholders.

Connect, model, visualize, share, and collaborate

This page describes the basic steps that you'll follow when you work with Data Studio.

Connect

First, you'll connect Data Studio to an underlying dataset, such as a database, spreadsheet, or Google Analytics account. Connecting to your data creates a data source in Data Studio. Data sources provide the fields (metrics and dimensions) available for you to visualize in your reports.

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Model

Once you've connected to your data, you can fine-tune the data source by applying data modeling features, such as creating calculated fields, changing the way your data is aggregated, or blending data from different sources into a single source that you can use in your visualizations.

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Visualize

You'll visualize your data by creating a report and then adding components to it that display or act upon the data. There are other ways to create reports, such as starting with a template and creating a report using the Linking API.

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Components: The building blocks of your reports

You'll use the visual report editor to build your reports by adding components, such as the following:

How Data Studio visualizes your data

Although different chart types display your data differently, the way Data Studio organizes and summarizes your data is the same for all charts:

Here's an example:

The following sample report contains two table chartsand a scorecard chart that show data from the same dataset (airline flight information). Note how the metric # of flights is summarized according to the dimensions that are shown in the chart.

Three visualizations: A table displays the number of flights grouped by OriginState, a table displays the number of flights grouped by OriginState and Carriername, and a scorecard displays the number of flights. [Three visualizations: A table displays the number of flights grouped by OriginState, a table displays the number of flights grouped by OriginState and Carriername, and a scorecard displays the number of flights.]

  1. In the first table, the number of flights is summarized by the state of origin. The values in the OriginState field appear only once in the table. This table has 53 rows.
  2. In the secondtable, the number of flights is summarized by the state of origin and the airline name. The combination of OriginState and Carriername appears only once in the table. This table has 921 rows.
  3. In the scorecard, the total number of flights is displayed (116,764,823). Scorecards have no dimensions with which to break down the data, so they always display the full value of the metric for the current date range and any filters that are applied to the report.

Learn more about working with dimensions and metrics.

Share and collaborate

When you've found insights in your data that you want others to see, or if you want to collaborate with other Data Studio users, you can share your reports. You can also share the data sources you've created so others can build reports using that data as a source of truth.

When you share a report, you decide who can see the data in that report and whether they can modify the report or only view it. Controlling who can see the data is based on data credentials, while view or edit access is based on permissions.

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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2026-08-11 UTC.

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